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Developed an ADAS using deep learning models to recognize traffic signs with high precision. Trained the model on custom VGG13, ResNet18 architectures, achieving over 99.91% accuracy in real-time sign recognition. This project demonstrates the potential of AI to enhance road safety by improving driver awareness and assisting in autonomous driving.